Title | (CMMSE paper) Algorithm to compute minimal matrix representation of nilpotent lie algebras |
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Authors | CEBALLOS GONZÁLEZ, MANUEL, Núñez J. , Tenorio Á.F. |

External publication | No |

Means | INTERNATIONAL JOURNAL OF COMPUTER MATHEMATICS |

Scope | Article |

Nature | Científica |

JCR Quartile | 2 |

SJR Quartile | 2 |

JCR Impact | 1.6 |

SJR Impact | 0.548 |

Web | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85062340347&doi=10.1080%2f00207160.2018.1557639&partnerID=40&md5=06570ba149744b3683fc5c127c7be357 |

Publication date | 27/02/2019 |

ISI | 000505888300020 |

Scopus Id | 2-s2.0-85062340347 |

DOI | 10.1080/00207160.2018.1557639 |

Abstract | As it is well-known there exist matrix representations of any given finite-dimensional complex Lie algebra. More concretely, such representations can be obtained by means of an isomorphic matrix Lie algebra consisting of upper-triangular square matrices. However, there is no general information about the minimal order for the matrices involved in such representations. In this way, our main goal is to revisit, debug and implement an algorithm which provides the minimal order for matrix representations of any finite-dimensional nilpotent Lie algebra from its law, as well as returning a matrix representative of such an algebra by using the minimal order previously computed. In order to show the applicability of this procedure, we have computed minimal representative for each nilpotent Lie algebra of dimensions 6 and 7 and we have also obtained the representation of some families with an arbitrary dimension. © 2019, © 2019 Informa UK Limited, trading as Taylor & Francis Group. |

Keywords | Program debugging; Matrix representation; Minimal representation; Nilpotent lie algebras; Numerical algorithms; Symbolic computation; Matrix algebra |

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